nanobanana-mcp
MCP server for AI image generation supporting text-to-image and image-to-image editing via any OpenAI-compatible service, with configurable models, aspect ratios, and sizes.
README
NanoBanana
AI 图像生成工具,使用 OpenAI 兼容协议,支持任何兼容的图像生成服务。
特性
- 🎨 文生图 - 根据文本描述生成图片
- 🖼️ 图生图 - 基于参考图片生成新图片
- 🔄 多 Provider 兼容 - OpenRouter 等
- 📦 双版本支持 - MCP Server + Clawdbot Plugin
版本选择
| 版本 | 适用场景 | 目录 |
|---|---|---|
| MCP Server | Claude Desktop / Claude Code | src/ |
| Clawdbot Plugin | Clawdbot AI 助手 | clawdbot-plugin/ |
MCP Server
用于 Claude Desktop 和 Claude Code。
快速使用
npx nanobanana-mcp
从源码安装
git clone https://github.com/superboolgithub/nanobanana-mcp.git
cd nanobanana-mcp
npm install
npm run build
环境变量
| 变量名 | 必填 | 说明 | 默认值 |
|---|---|---|---|
NANOBANANA_API_KEY |
✅ | API 密钥 | - |
NANOBANANA_BASE_URL |
✅ | API 基础 URL | - |
NANOBANANA_OUTPUT_DIR |
✅ | 图片输出目录 | - |
NANOBANANA_DEFAULT_ASPECT_RATIO |
❌ | 默认宽高比 | 1:1 |
NANOBANANA_DEFAULT_IMAGE_SIZE |
❌ | 默认图片尺寸 | 1K |
NANOBANANA_DEFAULT_MODEL |
❌ | 默认模型 | google/gemini-2.5-flash-image-preview |
Claude Desktop 配置
在 claude_desktop_config.json 中添加:
{
"mcpServers": {
"nanobanana": {
"command": "npx",
"args": ["-y", "nanobanana-mcp"],
"env": {
"NANOBANANA_API_KEY": "your-api-key",
"NANOBANANA_BASE_URL": "https://openrouter.ai/api",
"NANOBANANA_OUTPUT_DIR": "/path/to/output"
}
}
}
}
Claude Code 配置
在 ~/.claude.json 中添加:
{
"mcpServers": {
"nanobanana": {
"type": "stdio",
"command": "npx",
"args": ["-y", "nanobanana-mcp"],
"env": {
"NANOBANANA_API_KEY": "your-api-key",
"NANOBANANA_BASE_URL": "https://openrouter.ai/api",
"NANOBANANA_OUTPUT_DIR": "/path/to/output"
}
}
}
}
Clawdbot Plugin
用于 Clawdbot AI 助手。
安装
cp -r clawdbot-plugin ~/.clawdbot/extensions/nanobanana
配置
在 ~/.clawdbot/clawdbot.json 中添加:
{
"plugins": {
"entries": {
"nanobanana": {
"enabled": true,
"config": {
"apiKey": "your-api-key",
"baseUrl": "https://openrouter.ai/api",
"outputDir": "/tmp/nanobanana",
"defaultAspectRatio": "1:1",
"defaultImageSize": "1K",
"defaultModel": "google/gemini-2.5-flash-image-preview"
}
}
}
}
}
配置项
| 配置项 | 必填 | 说明 | 默认值 |
|---|---|---|---|
apiKey |
✅ | API 密钥 | - |
baseUrl |
✅ | API 基础 URL | - |
outputDir |
❌ | 图片输出目录 | /tmp/nanobanana |
defaultAspectRatio |
❌ | 默认宽高比 | 1:1 |
defaultImageSize |
❌ | 默认图片尺寸 | 1K |
defaultModel |
❌ | 默认模型 | google/gemini-2.5-flash-image-preview |
工具说明
generate_image - 文生图
根据文本描述生成图片。
参数:
prompt(必填) - 图片描述,最大 5000 字符aspectRatio- 宽高比imageSize- 图片尺寸model- 模型名称
edit_image - 图生图
基于参考图片生成新图片。
参数:
prompt(必填) - 图片描述referenceImageUrl(必填) - 参考图片 URLaspectRatio- 宽高比imageSize- 图片尺寸model- 模型名称
参数选项
宽高比 (aspectRatio)
| 值 | 分辨率 | 说明 |
|---|---|---|
1:1 |
1024×1024 | 方形(默认) |
16:9 |
1344×768 | 横版宽屏 |
9:16 |
768×1344 | 竖版 |
4:3 |
1184×864 | 横版 |
3:4 |
864×1184 | 竖版 |
2:3 |
832×1248 | 竖版 |
3:2 |
1248×832 | 横版 |
4:5 |
896×1152 | 竖版 |
5:4 |
1152×896 | 横版 |
21:9 |
1536×672 | 超宽屏 |
图片尺寸 (imageSize)
| 值 | 说明 |
|---|---|
1K |
标准分辨率(默认) |
2K |
高分辨率 |
4K |
最高分辨率 |
兼容模型
google/gemini-2.5-flash-image-preview- 快速生成google/gemini-3-pro-image-preview- 高质量gemini-2.5-flash-image- Gemini Flashblack-forest-labs/flux.2-pro- Flux Pro- 其他支持图像生成的模型
API 协议
使用 OpenAI Chat Completions API 格式:
请求
POST /v1/chat/completions
Content-Type: application/json
Authorization: Bearer <api-key>
{
"model": "gemini-2.5-flash-image",
"messages": [
{ "role": "user", "content": "Generate a beautiful sunset" }
],
"modalities": ["image", "text"],
"image_config": {
"aspect_ratio": "16:9",
"image_size": "2K"
}
}
响应格式
支持两种响应格式:
格式 1:OpenRouter 风格
{
"choices": [{
"message": {
"content": "Here's your image",
"images": [{
"image_url": { "url": "data:image/png;base64,..." }
}]
}
}]
}
格式 2:Markdown 内嵌
{
"choices": [{
"message": {
"content": ""
}
}]
}
兼容的 Provider
任何使用 OpenAI Chat Completions API 格式的图像生成服务:
- OpenRouter
- 其他 OpenAI 兼容 API
使用示例
"生成一张可爱的猫咪图片"
"生成一张 4K 横版的日落海滩风景"
"基于这张图片,生成一个卡通风格的版本"
开发
# 安装依赖
npm install
# 开发模式
npm run dev
# 构建
npm run build
# 运行
npm start
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.